Triple
T30710249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laudine |
E781871
|
entity |
| Predicate | appearsInLiteraryCycle |
P20977
|
FINISHED |
| Object | Matter of Britain |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Matter of Britain | Statement: [Laudine, appearsInLiteraryCycle, Matter of Britain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInLiteraryCycle Context triple: [Laudine, appearsInLiteraryCycle, Matter of Britain]
-
A.
belongsToCycleOfPoems
Indicates that a poem is part of, or included within, a specific cycle or collection of related poems.
-
B.
hasFictionalGenreCycle
Indicates a recurring or cyclical pattern that characterizes the fictional genre associated with an entity.
-
C.
literarySeries
chosen
Indicates that one work is part of, or belongs to, a larger literary series that connects multiple related works.
-
D.
literaryGenreOfWorkAppearedIn
Indicates the literary genre of the work in which a given entity (such as a text, character, or element) appears.
-
E.
narrativeCycle
Indicates a recurring or structured sequence of narrative events or themes that repeat or progress in a cyclical pattern within a story or across stories.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f224abfcf081909492e64d3cc35262 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: April 29, 2026, 8:35 p.m.